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Ai Labelling Jobs in Washington (NOW HIRING)

Innodata Inc.

AI Solutions Engineer

Washington, DC

$75 - $80/hr

Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion * Implement ICAM / OIDC authentication integration with AFS identity framework

Assured Consulting Solutions

AI/ML Engineer

Reston, VA · On-site

$175K - $220K/yr

Our model enables our customers to perform critical data labeling tasks over multi-media sources such as video, images, audio, and documents. Our AI/ML Engineer is the core mission specialist who ...

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Ai Labelling information

What is an AI labelling?

An AI labelling job involves annotating data—such as images, text, audio, or video—to help train machine learning models. This process includes tasks like tagging objects in images, transcribing speech, or categorizing text. The labelled data is crucial for AI systems to learn and make accurate predictions. These jobs are commonly found in industries like tech, healthcare, and autonomous driving. Attention to detail and consistency are key skills for this role.

What are the key skills and qualifications needed to thrive in AI labelling?

To thrive in an AI Labelling role, you need attention to detail, basic data analysis skills, and the ability to follow complex guidelines, with many roles requiring at least a high school diploma or equivalent. Familiarity with data annotation tools, image or text labeling platforms, and sometimes basic scripting or database systems is beneficial. Strong communication, time management, and the ability to work both independently and as part of a team are valuable soft skills. These competencies ensure the consistent and accurate labeling of data, which is critical for training high-quality AI and machine learning models.

What are some typical challenges faced in AI labelling roles and how can they be managed?

One common challenge in AI Labelling roles is maintaining accuracy and consistency when labeling large volumes of data according to detailed guidelines, which can become repetitive or mentally taxing. Managing these challenges often involves taking regular breaks, double-checking work, and staying up-to-date with any updates to annotation standards provided by the team. Collaborating with supervisors and peers to clarify uncertainties and seek feedback also helps ensure high-quality output. Over time, professionals in this role often develop efficient workflows and a keen eye for detail, opening doors to advancement into quality assurance or project coordination positions within the data annotation field.

What are popular job titles related to Ai Labelling jobs in Washington?

For Ai Labelling jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Labelling jobs in Washington look for?

The top searched job categories for Ai Labelling jobs in Washington are:

What cities in Washington are hiring for Ai Labelling jobs?

Cities in Washington with the most Ai Labelling job openings:

Ai Labelling jobs near you
Infographic showing various Ai Labelling job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution.

Image Reasoning Specialist - AI Lab - AI Trainer

Mercor

Washington, DC • Remote

$35/hr

Full-time

Posted 6 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Image Reasoning Generalist
Type: Contract
Compensation: $35/hour
Location: Remote

Role Responsibilities

  • Find images that may cause AI models to count incorrectly. Use original, public domain, or AI-generated images.
  • Identify elements that might confuse models, such as misleading text or similar-looking objects.
  • Test images with AI models using the prompt: "How many X are there? Return an integer."
  • Write additional prompts to provide context and label tasks effectively.
  • Work independently and asynchronously to ensure accuracy and consistency in task completion.

Qualifications

Must-Have

  • Strong written English skills for clear and understandable prompts.
  • Good attention to detail to identify potential model confusion in images.
  • Consistency and reliability in handling multiple tasks.

Preferred

  • Experience with photography, image editing, data labeling, or other detail-focused work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.


#hiringmercor